Matoffo

Responsibilities

Model Fine-Tuning and Deployment:

Fine-tune pre-trained models (e.g., BERT, GPT) for specific tasks and deploy them using Amazon SageMaker and Bedrock.

RAG Workflows:

Establish Retrieval-Augmented Generation (RAG) workflows that leverage knowledge bases built on Kendra or OpenSearch. This includes integrating various data sources, such as corporate documents, inspection checklists, and real-time external data feeds.

MLOps Integration:

The project includes a comprehensive MLOps framework to manage the end-to-end lifecycle of machine learning models. This includes continuous integration and delivery (CI/CD) pipelines for model training, versioning, deployment, and monitoring. Automated workflows ensure that models are kept up-to-date with the latest data and are optimized for performance in production environments.

Scalable and Customizable Solutions:

Ensure that both the template and ingestion pipelines are scalable, allowing for adjustments to meet specific customer needs and environments. This involves setting up RAG workflows, knowledge bases using Kendra/OpenSearch, and seamless integration with customer data sources.

End-to-End Workflow Automation:

Automate the end-to-end process from user input to response generation, ensuring that the solution leverages AWS services like Bedrock Agents, CloudWatch, and QuickSight for real-time monitoring and analytics.

Advanced Monitoring and Analytics:

Integrated with AWS CloudWatch, QuickSight, and other monitoring tools, the accelerator provides real-time insights into performance metrics, user interactions, and system health. This allows for continuous optimization of service delivery and rapid identification of any issues.

Model Monitoring and Maintenance:

Implement model monitoring to track performance metrics and trigger retraining as necessary.

Collaboration:

Work closely with data engineers and DevOps engineers to ensure seamless integration of models into the production pipeline.

Documentation:

Document model development processes, deployment procedures, and monitoring setups for knowledge sharing and future reference.

Must-Have Skills

Machine Learning: Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

MLOps Tools: Proficiency with Amazon SageMaker for model training, deployment, and monitoring.

Document processing: Experience with document processing for Word, PDF, images.

OCR: Experience with OCR tools like Tesseract / AWS Textract (preferred)

Programming: Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-Learn.

Model Deployment: Experience with deploying and managing machine learning models in production environments.

Version Control: Familiarity with version control systems like Git.

Automation: Experience with automating ML workflows using tools like AWS Step Functions or Apache Airflow.

Agile Methodologies: Experience working in Agile environments using tools like Jira and Confluence.

Nice-to-Have Skills

LLM: Experience with LLM / GenAI models, LLM Services (Bedrock or OpenAI), LLM abstraction like (Dify, Langchain, FlowiseAI), agent frameworks, rag.

Deep Learning: Experience with deep learning models and techniques.

Data Engineering: Basic understanding of data pipelines and ETL processes.

Containerization: Experience with Docker and Kubernetes (EKS).

Serverless Architectures: Experience with AWS Lambda and Step Functions.

Rule engine frameworks: Like Drools or similar

If you are a motivated individual with a passion for ML and a desire to contribute to a dynamic team environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of infrastructure and driving innovation in software delivery processes.

We are looking for a results-driven, autonomous LinkedIn Lead Generation Specialist to join our team. The ideal candidate will be responsible for identifying, connecting with, and nurturing potential leads on LinkedIn to drive business growth. You will play a crucial role in executing and driving lead generation campaigns.

Key Responsibilities:

Conduct research to build targeted prospect lists based on ICP.

• Optimize and manage LinkedIn profiles.
• Manage outreach campaigns through fine tuned targeting, message sequences and business questioning.
• Collaborate with the sales team to maximize conversion opportunities.
• Measure campaign effectiveness and make adjustments accordingly.

• Stay updated with LinkedIn trends, best practices, and algorithm changes to ensure optimal performance.

   

Qualifications & Skills:
 

• Proven experience in successful LinkedIn lead generation campaigns.
• Good working knowledge of Sales Navigator, LinkedHelper, Apollo and HubSpot.
• Ability to generate engaging and persuasive LinkedIn messages.
• Excellent communicational and comprehension skills.
• Basic understanding of the Cloud computing and Generative AI technology.
• Analytical mindset with the ability to interpret data and optimize campaigns.
• Self-motivated, detail-oriented, and results-driven.

What You’ll Do:

• Identify and segment audiences according to our Ideal Customer Profile (ICP).
• Conduct targeted research on specific information for each contact or company using manual methods and automation tools like Clay.com and ChatGPT.
• Verify contact information using appropriate tools.
• Work with platforms such as Apollo.io, Snov.io, LinkedIn Sales Navigator, ChatGPT, Clay.com, and Verifalia.com.
• Generate 100–300 leads per day, with Key Performance Indicators (KPIs) to be set after 1–2 months.
• Collaborate closely with the Business Development team.

Nice-to-Haves:

• Proficiency with Google Spreadsheet functions like vlookup and others.
• Experience in warming up new LinkedIn profiles.
• Skills in business correspondence with potential clients leading up to appointment setting.

Who We’re Looking For:

• Experience: 1+ year in research or lead generation.
• English Proficiency: Intermediate to Upper-Intermediate (B1-B2 level).
• Research Skills: Familiarity with various research platforms and methods; the more you know, the better!
• Work Style: Comfortable performing repetitive and less dynamic tasks.

We are looking for a Lead Generation Specialist & Researcher to help identify and qualify potential clients, conduct market research, and support our sales team with high-quality leads. This role is crucial in driving business growth by uncovering new opportunities and ensuring a steady pipeline of prospects.

Key Responsibilities:

• Conduct in-depth market research to identify potential leads and business opportunities.
• Utilize online tools, databases, and social media platforms (e.g., LinkedIn, industry directories) to gather lead information.
• Generate, qualify, and categorize leads based on defined criteria and sales goals.
• Maintain and manage lead databases, ensuring accuracy and regular updates.
• Develop and implement lead generation strategies to optimize outreach efforts.
• Monitor industry trends, competitor activities, and market changes to identify new prospects.
• Collaborate with the sales and marketing teams to refine target audiences and enhance conversion rates.
• Ensure compliance with data protection and privacy regulations when handling lead information.

Qualifications & Requirements:

• Proven experience in lead generation, market research, or a related role.
• Strong analytical skills with the ability to interpret data and identify trends.
• Familiarity with CRM tools (e.g., HubSpot) and lead generation platforms.
• Excellent communication skills (written and verbal) to engage with potential clients.
• Self-motivated and target-driven, with the ability to work independently.
• Experience in B2B lead generation is a plus.